Staff ML Research Lead

About the role

As a Staff ML Research Lead you will work on challenging ML projects that extend and improve the way ML is used in our company. ML is at the very center of RTB House, and you will have a strong, immediate impact on our core metrics. We are looking for a strong technical leader that will also manage a small team of high performing researchers. The following skills will be crucial :

• Leadership skills . We're looking for someone who can identify high-potential projects, create a vision, communicate with stakeholders, and above all, execute.
• End to end ownership . You will own the projects from conception, through analysis, research, building a proof of concept, testing, to final implementation and deployment.
• Effective communication. In this role you will collaborate with many people, and it's crucial to communicate well and organize the work effectively.
• Ability to solve unclear problems. In each project, you will have to understand the core of the issue, define the goal and how to measure success, and find the most effective way to solve the problem.
• Being results oriented. We value a healthy drive to solve problems effectively, by starting simple and using complex tools only when necessary, always striving for a simple, elegant solution.
• Ability to work cross-team. You will be working cross team, often across IT and business orgs.
• Ability to build and manage a team. You will start as the first researcher on a Platform Research Team, with the expectation of growing the team to a couple researchers / engineers in the first year.

You will work with following tech stack :

Must have

Example projects

RTB House is a performance oriented company, and our technology is our main strength. We work with more than 2000 clients across EMEA, APAC, and the Americas. Our highly optimized system serves nearly 10 million queries per second. We evaluate multiple models during a request, including deep neural nets - Machine Learning is at the very heart of our operation. We are constantly improving and extending our ML platform. Example projects include :

What we offer